ArticleInternational urology and nephrology2012
Glomerular filtration rate is related to severity of obstructive coronary artery disease in patients undergoing coronary angiography.
Article in International urology and nephrology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 12 citations in OpenAlex.
- Absence of Coronary Artery Disease is a Strong Negative Predictor of Major Adverse Cardiovascular Events in Patients with Chronic Kidney Disease.Clinical epidemiology · 2023Article
- Association of renal function, estimated by four equations, with coronary artery disease.International urology and nephrology · 2015Article
- Decreased renal function is an independent predictor of severity of coronary artery disease: an application of Gensini score.Journal of Korean medical science · 2013Article
- In-hospital mortality in patients with renal dysfunction admitted for myocardial infarction: the Emilia-Romagna region of Italy database of hospital admissions.International urology and nephrology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeChronic kidney disease is independently associated with an increased risk of cardiovascular events; however, the relationship between the glomerular filtration rate (GFR) and coronary artery disease (CAD) in patients undergoing coronary angiography has yet to be fully elucidated.
methodsThis retrospective study enrolled a total of 7968 patients who underwent diagnostic coronary artery catheterization [mean age = 54.8 ± 10.6 years, 74.4% males] and did not have any previous history of coronary revascularization, diabetes mellitus, hypertension, end-stage renal disease treated by dialysis or renal transplantation, and were not taking diuretics or drugs acting on renin angiotensin system. The severity of CAD was defined as the number of coronary arteries with a luminal stenosis ≥50% on the angiogram, and the GFR was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI).
resultsThere were 2133 (26.8%) patients with GFR ≥ 90 ml/min/1.73 m(2), 4574 (57.4%) patients with 60 ≤ GFR < 90 ml/min/1.73 m(2), 1073 (13.5%) with 45 ≤ GFR < 60 ml/min/1.73 m(2) and 181 (2.3%) with 15 < GFR < 45 ml/min/1.73 m(2). After adjustment for traditional cardiovascular risk factors (age, sex, dyslipidemia, low to high-density lipoprotein ratio, smoking status, and family history), the GFR showed a significant association with the severity of CAD and remained a significant predictor of CAD (Odds Ratio raised from 1.1 in patients with 60 ≤ GFR < 90 ml/min/1.73 m(2) to 1.8 in patients with 15 < GFR < 45 ml/min/1.73 m(2)).
conclusionsA reduced kidney function, even mildly, is significantly associated with CAD severity, independently of other traditional CAD risk factors.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.